• Job Description

  Req#: R6105
  Data Analyst Intern
  
  Req number:
  R6105
  
  Employment type:
  Full time
  
  Worksite flexibility:
  Remote
  Who we are
  
  CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.
  
  Job Summary
  As a Data Analyst Intern, you will work within our technical data analytics team, focusing on analyzing existing customer data. You will have the opportunity to apply your analytical skills to discover patterns and insights that will help drive business strategies and improve customer experiences.
  
  Job Description
  
  We are seeking a motivated and detail-oriented Data Analyst Intern to join our team and contribute to impactful data analysis projects. This role is a full-time internship role and is remote. The internship dates are June 1, 2026 to July 31 2026.
  
  This internship is a full-time opportunity requiring a commitment of 40 hours per week. Candidates must be available during core business hours (8:30 am EST to 5:00 pm EST) for the entire 9-week duration of the program. Please note that all work must be performed within the United States. This position does not offer work authorization sponsorship now or in the future. Candidates requiring sponsorship will not be considered.
  
  What You'll Do
  
  
  • Assist in collecting, processing, and analyzing large datasets to extract meaningful insights
  
  
  
  • Collaborate with cross-functional teams to understand data requirements and deliver actionable analytics
  
  
  
  • Develop and maintain dashboards and reports to communicate findings to stakeholders
  
  
  
  • Utilize statistical techniques and data analysis tools to identify trends and patterns in customer data
  • Support the team in ad hoc analysis and reporting requests
  
  
  What You'll Need
  
  Required:
  
  
  • Current Junior pursuing a degree in Computer Science or a related field
  
  
  
  • Minimum GPA of 3.5 or higher
  
  
  
  • Strong analytical skills and experience with data patterns and trends
  
  
  
  • Excellent critical thinking and problem-solving abilities
  
  
  
  • Familiarity with data analytics tools and techniques
  
  
  
  • Passion for working with data and a keen interest in customer data analysis
  
  
  Preferred:
  
  
  • Understanding data engineering, data warehousing, and ETL processes
  
  
  
  • Familiarity with Python, Java, or Scala
  
  
  
  • Familiarity with Azure data storage
  
  
  
  • Exposure to data storage technologies such as SQL databases, NoSQL databases, and data lakes.
  
  
  
  • Familiarity with cloud platforms (AWS or Azure,) and related data services
  
  
  Physical Demands
  
  
  • Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards
  
  
  
  • Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.
  
  
  
  • Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor
  
  
  The pay for this position is $20 per hour (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.
  
  #DNP
  
  Reasonable accommodation statement
  
  If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 - 8111.
  
  The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.

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